|
- # Copyright (c) OpenMMLab. All rights reserved.
- import asyncio
- from argparse import ArgumentParser
-
- from mmdet.apis import (async_inference_detector, inference_detector,
- init_detector, show_result_pyplot)
-
-
- def parse_args():
- parser = ArgumentParser()
- parser.add_argument('img', help='Image file')
- parser.add_argument('config', help='Config file')
- parser.add_argument('checkpoint', help='Checkpoint file')
- parser.add_argument(
- '--device', default='cuda:0', help='Device used for inference')
- parser.add_argument(
- '--score-thr', type=float, default=0.3, help='bbox score threshold')
- parser.add_argument(
- '--async-test',
- action='store_true',
- help='whether to set async options for async inference.')
- args = parser.parse_args()
- return args
-
-
- def main(args):
- # build the model from a config file and a checkpoint file
- model = init_detector(args.config, args.checkpoint, device=args.device)
- # test a single image
- result = inference_detector(model, args.img)
- # show the results
- show_result_pyplot(model, args.img, result, score_thr=args.score_thr)
-
-
- async def async_main(args):
- # build the model from a config file and a checkpoint file
- model = init_detector(args.config, args.checkpoint, device=args.device)
- # test a single image
- tasks = asyncio.create_task(async_inference_detector(model, args.img))
- result = await asyncio.gather(tasks)
- # show the results
- show_result_pyplot(model, args.img, result[0], score_thr=args.score_thr)
-
-
- if __name__ == '__main__':
- args = parse_args()
- if args.async_test:
- asyncio.run(async_main(args))
- else:
- main(args)
|